65 datasets found
  1. Incarceration rate in the U.S. 2021, by race and gender

    • statista.com
    Updated Jul 3, 2023
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    Statista (2023). Incarceration rate in the U.S. 2021, by race and gender [Dataset]. https://www.statista.com/statistics/818001/rate-of-imprisonment-in-the-us-by-race-and-gender/
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    Dataset updated
    Jul 3, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    As of 2021, Black people were more likely than those of other races to be imprisoned in the United States. In 2021, the rate of imprisonment for Black men stood at 1,807 per 100,000 of the population. For Black women, this rate stood at 62 per 100,000 of the population.

  2. Jail incarceration rate U.S. 2021, by race

    • statista.com
    Updated Jun 2, 2023
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    Statista (2023). Jail incarceration rate U.S. 2021, by race [Dataset]. https://www.statista.com/statistics/816699/local-jail-inmates-in-the-united-states-by-race/
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    Dataset updated
    Jun 2, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, the incarceration rate of African Americans in local jails in the United States was 528 incarcerations per 100,000 of the population -- the highest rate of any ethnicity. The second highest incarceration rate was among American Indians/Alaska Natives, at 316 incarcerations per 100,000 of the population.

  3. o

    Data from: The cumulative risk of jail incarceration.

    • omicsdi.org
    Updated Jan 1, 2009
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    (2009). The cumulative risk of jail incarceration. [Dataset]. https://www.omicsdi.org/dataset/biostudies/S-EPMC8072250
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    Dataset updated
    Jan 1, 2009
    Variables measured
    Unknown
    Description

    Research on incarceration has focused on prisons, but jail detention is far more common than imprisonment. Jails are local institutions that detain people before trial or incarcerate them for short sentences for low-level offenses. Research from the 1970s and 1980s viewed jails as "managing the rabble," a small and deeply disadvantaged segment of urban populations that struggled with problems of addiction, mental illness, and homelessness. The 1990s and 2000s marked a period of mass criminalization in which new styles of policing and court processing produced large numbers of criminal cases for minor crimes, concentrated in low-income communities of color. In a period of widespread criminal justice contact for minor offenses, how common is jail incarceration for minority men, particularly in poor neighborhoods? We estimate cumulative risks of jail incarceration with an administrative data file that records all jail admissions and discharges in New York City from 2008 to 2017. Although New York has a low jail incarceration rate, we find that 26.8% of Black men and 16.2% of Latino men, in contrast to only 3% of White men, in New York have been jailed by age 38 y. We also find evidence of high rates of repeated incarceration among Black men and high incarceration risks in high-poverty neighborhoods. Despite the jail's great reach in New York, we also find that the incarcerated population declined in the study period, producing a large reduction in the prevalence of jail incarceration for Black and Latino men.

  4. Data and Code for: The Incarceration Penalty and Black-White Economic...

    • openicpsr.org
    Updated Apr 26, 2023
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    Lauren Russell; Jorge N. Zumaeta; Aaron Colston; William A. Darity, Jr. (2023). Data and Code for: The Incarceration Penalty and Black-White Economic Inequality [Dataset]. http://doi.org/10.3886/E189823V1
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    Dataset updated
    Apr 26, 2023
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Lauren Russell; Jorge N. Zumaeta; Aaron Colston; William A. Darity, Jr.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper investigates income and wealth gaps by household incarceration history within and across racial groups using the Blinder-Oaxaca decomposition. We study this in the context of Baltimore, Maryland using data from the 2017 Baltimore National Asset Scorecard for Communities of Color (NASCC) survey.

  5. Race and the criminal justice system 2016

    • gov.uk
    Updated Feb 28, 2018
    + more versions
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    Ministry of Justice (2018). Race and the criminal justice system 2016 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system-2016
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    Dataset updated
    Feb 28, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Biennial statistics on the representation of ethnic groups as victims, suspects, defendants offenders and employees in the criminal justice system.

    These reports are released by the Ministry of Justice (MoJ) and produced in accordance with arrangements approved by the UK Statistics Authority.

    Introduction

    This publication compiles statistics from data sources across the Criminal Justice System (CJS), to provide a combined perspective on the typical experiences of different ethnic groups. No causative links can be drawn from these summary statistics, and no controls have been applied to account for differences in circumstances between groups (e.g. average income or age); differences observed may indicate areas worth further investigation, but should not be taken as evidence of bias or as direct effects of ethnicity.

    In general, Non-White ethnic groups tend to be over-represented at most stages throughout the CJS, compared with the White ethnic group. Among non-White groups, Black and Mixed individuals were often the most over-represented. Trends over time for each ethnic group have tended to mirror overall trends, with little change in relative positions between ethnic groups.

    Specific findings

    Victimisation

    • The Mixed ethnic group was the most likely to be a victim of personal crime (7.4%), and the Asian or Asian British ethnic group were the least likely (2.6%). Additionally, the Black ethnic group were 4 times more likely than the White ethnic group to be a victim of homicide.
    • There was an 18% rise in police recorded racially or religiously aggravated offences compared with the previous year and a 62% increase over the past 5 years.

    Police activity

    • In 2016 to 2017, compared with the White ethnic group, stops and searches proportionate to population size were more likely to be carried out on the Black (eight times as likely), Mixed (between 2 and 3 times as likely), Asian (just over 2 times as likely) and Chinese or Other (one and a half as likely) ethnic groups.
    • Compared with the White ethnic group, arrests were more likely to be carried out on the Black (3 and half times more likely) and Mixed (twice as likely) ethnic groups relative to their population size.

    Defendants

    • Relative to the population, the rates of prosecution for indictable offences for Black and Mixed ethnic groups were 4 and 2 times higher than for the White ethnic group.
    • White defendants have tended to have the highest conviction ratio for indictable offences out of all ethnic groups since 2012 (ranging from 80% to 86%).
    • In 2016, Black and Mixed defendants were 23% and 18% more likely than White defendants to be remanded in custody in Crown Court for indictable offences.
    • The custody rate for Asian offenders has been increasing over the last 5 years and in 2016 they were 11% more likely than White offenders to receive a custodial sentence. Black and Asian offenders have consistently had the highest average custodial sentence length (ACSL) since 2012.
    • White defendants had the highest guilty plea rate for indictable offences at the Crown Court in 2016 at 71%. The guilty plea rate for all other ethnic groups ranged between 56% and 64%.

    Offender characteristics

    • Prosecution rate relative to the population was highest for Black juveniles (12 juveniles per 1,000 people in the population). The rate for White juveniles was 2 per 1,000.
    • Black and ‘Asian and Other’ young people in the matched cohort sentenced in 2014 had a greater proportion achieving 5 or more GCSEs graded A* - C and A* - G for all sentencing outcomes.

    Offenders under supervision or custody

    The proportion of the prison population varied greatly between ethnic groups: there were around 16 prisoners for every 10,000 people, similar to the White and Asian rates, but this includes only 5 prisoners for each 10,000 Chinese or Other population members, and 47 and 58 prisoners for each 10,000 Mixed and Black population members respectively.

    Practitioners

    Non-White ethnic groups were under-represented relative to the population among the police, National Offender Management Service , judiciary and magistracy with proportions increasing slowly or remaining the same over the last 5 years. Non-White ethnic groups were over-represented relative to the population among the Ministry of Justice and Crown Prosecution Service with proportions increasing over the last 5 years.

    Pre-release access

    The bulletin is produced and handled by the ministry’s analytical profe

  6. Black percentage of U.S. prison population in 2014, by state and time served...

    • statista.com
    Updated Feb 2, 2024
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    Statista (2024). Black percentage of U.S. prison population in 2014, by state and time served [Dataset]. https://www.statista.com/statistics/815845/share-of-us-prison-population-that-is-black-by-time-served-and-state/
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    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the share of the United States prison population that was Black in 2014, by state and the length of time inmates have served. In 2014, 58.7 percent of the prison population in Alabama was Black. For those inmates who had served 10 years or more, that figure rose to 67 percent.

  7. o

    Data from: Prison Sentence Trends By Area Type 1985-2001

    • osf.io
    Updated Feb 11, 2017
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    Pamela Oliver (2017). Prison Sentence Trends By Area Type 1985-2001 [Dataset]. https://osf.io/9a7je
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    Dataset updated
    Feb 11, 2017
    Dataset provided by
    Center For Open Science
    Authors
    Pamela Oliver
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    National-level trends in racial patterns of incarceration hide the fact that different trends were happening in different kinds of places. Overall, the national Black prison admission rate leveled off after 1995 while the White rate continued to rise. Detailed investigation of types of places reveals that the national trend for Blacks hides a steep decline in Black prison admissions in a few large metropolitan areas coupled with a continued rise in other places, especially those where Blacks were a smaller percentage of the population. White prison admission rates were consistently low and relatively stable in the large metropolitan areas. The growth in White prison admission was concentrated in rural areas and smaller cities that were overwhelmingly White. These trends have not been noticed in the prior literature and require further research.

  8. H

    Predicted Incarceration Rate Data

    • dataverse.harvard.edu
    xlsx
    Updated Aug 30, 2022
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    Harvard Dataverse (2022). Predicted Incarceration Rate Data [Dataset]. http://doi.org/10.7910/DVN/HSTXTA
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    xlsx(37882)Available download formats
    Dataset updated
    Aug 30, 2022
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Datasets for predicted incarceration rate analysis in Figure 2. Census tract level % Black and Concentrated Disadvantage index are varied while holding all other covariates constant at either the median values for all Non-NYCHA census tracts or the median values for all NYCHA census tracts.

  9. Incarceration rates in selected countries 2024

    • arkafortdatacentre.com
    • statista.com
    Updated Jan 8, 2024
    + more versions
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    Statista (2024). Incarceration rates in selected countries 2024 [Dataset]. https://arkafortdatacentre.com/european-prison-population-league-table
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    Dataset updated
    Jan 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    World
    Description

    As of January 2024, El Salvador had the highest prisoner rate worldwide, with over 1,000 prisoners per 100,000 of the national population. Cuba, Rwanda, Turkmenistan, and American Samoa, rounded out the top five countries with the highest rate of incarceration.

    Homicides in El Salvador

    El Salvador is not only the country with the highest prison rate worldwide, but also the country with the highest murder rate, reaching over 50 per 100,000 inhabitants in 2023. A high number of the countries with the highest homicide rate are located in Latin America.

    Prisoners in the United States

    The United States is home to the largest number of prisoners worldwide. Roughly 1.8 million people were incarcerated in the U.S. at the end of 2023. In China, the estimated prison population totaled to 1.69 million people that year. Other nations had far fewer prisoners.

    The largest share of the U.S. prisoners in federal correctional facilities were of African-American origin. As of 2020, there were 345,500 black, non-Hispanic prisoners, compared to 327,300 white, non-hispanic inmates. The U.S. states with the largest number of prisoners in 2022 were Texas, California and Florida.

    Over 160,000 prisoners in state facilities were sentenced for rape or sexual assault, which was the most common cause of imprisonment. Second most common were murder, followed by aggravated or simple assault.

  10. o

    Data from: Carceral-community epidemiology, structural racism, and COVID-19...

    • omicsdi.org
    Updated Jan 1, 2012
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    (2012). Carceral-community epidemiology, structural racism, and COVID-19 disparities. [Dataset]. https://www.omicsdi.org/dataset/biostudies/S-EPMC8166074
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    Dataset updated
    Jan 1, 2012
    Variables measured
    Unknown
    Description

    Black and Hispanic communities are disproportionately affected by both incarceration and COVID-19. The epidemiological relationship between carceral facilities and community health during the COVID-19 pandemic, however, remains largely unexamined. Using data from Cook County Jail, we examine temporal patterns in the relationship between jail cycling (i.e., arrest and processing of individuals through jails before release) and community cases of COVID-19 in Chicago ZIP codes. We use multivariate regression analyses and a machine-learning tool, elastic regression, with 1,706 demographic control variables. We find that for each arrested individual cycled through Cook County Jail in March 2020, five additional cases of COVID-19 in their ZIP code of residence are independently attributable to the jail as of August. A total 86% of this additional disease burden is borne by majority-Black and/or -Hispanic ZIPs, accounting for 17% of cumulative COVID-19 cases in these ZIPs, 6% in majority-White ZIPs, and 13% across all ZIPs. Jail cycling in March alone can independently account for 21% of racial COVID-19 disparities in Chicago as of August 2020. Relative to all demographic variables in our analysis, jail cycling is the strongest predictor of COVID-19 rates, considerably exceeding poverty, race, and population density, for example. Arrest and incarceration policies appear to be increasing COVID-19 incidence in communities. Our data suggest that jails function as infectious disease multipliers and epidemiological pumps that are especially affecting marginalized communities. Given disproportionate policing and incarceration of racialized residents nationally, the criminal punishment system may explain a large proportion of racial COVID-19 disparities noted across the United States.

  11. H

    Incarceration Population Data by State

    • dataverse.harvard.edu
    xlsx
    Updated Feb 7, 2022
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    Harvard Dataverse (2022). Incarceration Population Data by State [Dataset]. http://doi.org/10.7910/DVN/KYMIHA
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    xlsx(13675)Available download formats
    Dataset updated
    Feb 7, 2022
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data was collected for each of the 50 states from the year 2019. For each state, the following information is given: total population, total White population, total Black population, total Hispanic population, median household income, total prison population, total parole population, total amount of law enforcement employees, the violent crime rate, and the GDP.

  12. Race and the criminal justice system statistics 2018

    • gov.uk
    Updated Nov 28, 2019
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    Ministry of Justice (2019). Race and the criminal justice system statistics 2018 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system-statistics-2018
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    Dataset updated
    Nov 28, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The areas of focus include: Victimisation, Police Activity, Defendants and Court Outcomes, Offender Management, Offender Characteristics, Offence Analysis, and Practitioners.

    This is the latest biennial compendium of Statistics on Race and the Criminal Justice System and follows on from its sister publication Statistics on Women and the Criminal Justice System, 2017.

    Introduction

    This publication compiles statistics from data sources across the Criminal Justice System (CJS), to provide a combined perspective on the typical experiences of different ethnic groups. No causative links can be drawn from these summary statistics. For the majority of the report no controls have been applied for other characteristics of ethnic groups (such as average income, geography, offence mix or offender history), so it is not possible to determine what proportion of differences identified in this report are directly attributable to ethnicity. Differences observed may indicate areas worth further investigation, but should not be taken as evidence of bias or as direct effects of ethnicity.

    In general, minority ethnic groups appear to be over-represented at many stages throughout the CJS compared with the White ethnic group. The greatest disparity appears at the point of stop and search, arrests, custodial sentencing and prison population. Among minority ethnic groups, Black individuals were often the most over-represented. Outcomes for minority ethnic children are often more pronounced at various points of the CJS. Differences in outcomes between ethnic groups over time present a mixed picture, with disparity decreasing in some areas are and widening in others.

    Key findings

    Victims

    • The Asian ethnic group had the lowest proportion of both adults (2%) and children (5%) who had experienced personal crime in the last year. In 2018/19, both adults and children from the Asian ethnic group were half as likely to report victimisation when compared to the White ethnic group.
    • A higher proportion of Black homicides were against children, 17% of Black victims were 17 or younger, compared to an average of 11% across all ethnicities. Between 2015/16 and 2017/18, Black children made up 20% of all child victims, while Black victims made up 13% of victims across all age groups.

    Police Activity

    • The proportion of stop and searches conducted on White suspects decreased from 75% in 2014/15 to 59% in 2018/19 and increased for all minority ethnic groups. The largest increases were from 13% to 22% for Black suspects and from 8% to 13% for Asian suspects.
    • In the last five years, the proportion of stop and searches involving Black suspects in London increased from 30% to 37%, now equal to the number of White suspects searched. In 2018/19, 48% of all stop and searches (where ethnicity is known) were conducted in London, and increasingly involving a higher proportion of suspects from minority ethnic groups when compared to the rest of England and Wales.
    • Black suspects had the highest proportion of arrests that resulted from stop and searches in the latest year, at 20% which has increased from 15% since 2014/15. This is driven by a higher number of stop and searches in London, where resultant arrests accounted for 22% of all arrests, compared to 5% for the rest of England and Wales. For other groups, between 6% and 13% of arrests resulted from stop and searches.
    • In 2018/19, two thirds (67%) of children arrested in London were from minority ethnic groups, compared to 21% of children arrested in the rest of England and Wales. Just over half (52%) of adults arrested in London were from minority ethnic groups, compared to 22% of adults arrested in the rest of England and Wales.

    Defendants

    • In the latest year, the largest fall in the volume of prosecutions and convictions for indictable offences was seen in the Asian group, down by 22% and 20% respectively. Prosecutions and convictions fell by 18% and 16% for Black defendants, by 13% each for White defendants, by 8% and 10% for defendants from Mixed ethnic groups and by 7% and 14% for defendants from Chinese or Other ethnic groups.
    • White defendants consistently had the highest conviction ratio for indictable offences over the last 5 years (with the exception of 2015) and was 85% in 2018. The conviction ratios for White, Asian (83%) and Black (81%) defendants have converged with each other over the last 5 years, remained constant for defendants from Mixed ethnic groups (77%) and fallen for Chinese or Other ethnic groups (75%).
    • Compared to White defendants (38%), larger proportions of Asian (40%), Mixed ethnicity (45%), Black (46%) and Chinese or Other (46%) defendants were remanded in custody for indictable

  13. African American Achievements

    • kaggle.com
    zip
    Updated Jun 8, 2020
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    Jesse Mostipak (2020). African American Achievements [Dataset]. https://www.kaggle.com/jessemostipak/african-american-achievements
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    zip(29163 bytes)Available download formats
    Dataset updated
    Jun 8, 2020
    Authors
    Jesse Mostipak
    Area covered
    United States
    Description

    African American Achievements

    The data this week comes from Wikipedia & Wikipedia. This will be a celebration of Black Lives, their achievements, and many of their battles against racism across their lives. This is in emphasis that Black Lives Matter and we're focusing on a celebration of these lives. Each of those Wikipedia articles above have additional details and sub-links that are highly worth reading through.

    For additional datasets related to describing racial problems that still exist in the US, please see a few of our previous #TidyTuesday datasets: Note, if you decide to use these datasets please read through the source material to better understand the nuance behind the data.

    The article for this week is the obituary for David Blackwell - Fought racism; became world famous statistician.

    There is currently a petition to rename the Fisher Lectureship after David Blackwell.

    The R.A. Fisher Lectureship, established in 1963, is awarded annually to a statistician in recognition of outstanding contributions to aspects of statistics and probability that closely relate to the scientific collection and interpretation of data. Fisher was a prominent proponent of Eugenics and additionally: In 1950, Fisher opposed UNESCO's The Race Question, believing that evidence and everyday experience showed that human groups differ profoundly "in their innate capacity for intellectual and emotional development" and concluded that the "practical international problem is that of learning to share the resources of this planet amicably with persons of materially different nature", and that "this problem is being obscured by entirely well-intentioned efforts to minimize the real differences that exist". The revised statement titled "The Race Concept: Results of an Inquiry" (1951) was accompanied by Fisher's dissenting commentary.

    By honoring Fisher we dishonor the entire field of Statistics.

    Please consider contributing to this petition.

    We'd also like to take the chance to highlight a few potential projects to support or get involved with:

    Data for Black Lives

    Data for Black Lives is a movement of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people. Since the advent of computing, big data and algorithms have penetrated virtually every aspect of our social and economic lives. These new data systems have tremendous potential to empower communities of color. Tools like statistical modeling, data visualization, and crowd-sourcing, in the right hands, are powerful instruments for fighting bias, building progressive movements, and promoting civic engagement.

    But history tells a different story, one in which data is too often wielded as an instrument of oppression, reinforcing inequality and perpetuating injustice. Redlining was a data-driven enterprise that resulted in the systematic exclusion of Black communities from key financial services. More recent trends like predictive policing, risk-based sentencing, and predatory lending are troubling variations on the same theme. Today, discrimination is a high-tech enterprise.

    Black Girls Code

    Black Girls CODE is devoted to showing the world that black girls can code, and do so much more. By reaching out to the community through workshops and after school programs, Black Girls CODE introduces computer coding lessons to young girls from underrepresented communities in programming languages such as Scratch or Ruby on Rails. Black Girls CODE has set out to prove to the world that girls of every color have the skills to become the programmers of tomorrow. By promoting classes and programs we hope to grow the number of women of color working in technology and give underprivileged girls a chance to become the masters of their technological worlds. Black Girls CODE's ultimate goal is to provide African-American youth with the skills to occupy some of the 1.4 million computing job openings expected to be available in the U.S. by 2020, and to train 1 million girls by 2040.

    Black in AI

    Black in AI (BAI) is a multi-institutional, transcontinental initiative designed to create a place for sharing ideas, fostering collaborations, and discussing initiatives to increase the presence of Black individuals in the field of AI. To this end, we hold an annual technical workshop series, run mentoring programs, and maintain various fora for fostering partnerships and collaborations.

    The firsts.csv dataset has 479 records of African-Americans breaking the color barrier across a wide range of topics. The raw text has been adapted from Wikipedia to highlight:

    • The year of the event
    • The role/action/topic
    • The person or people involved
    • Addition of gender
    • A category of topics

    The science.csv dataset also celebrates the achievements of African-Americans, specifically related to Patents and Scientific achievements. One of the amazing scientists present in this dataset is David Blackwell - an African-American Mathematician and Statistician with significant contributions to game theory, probability theory, information theory, and Bayesian statistics. There is currently a proposal to rename the Fisher Lectureship award after David Blackwell as mentioned above..

    What is Tidy Tuesday?

    TidyTuesday A weekly data project aimed at the R ecosystem. As this project was borne out of the R4DS Online Learning Community and the R for Data Science textbook, an emphasis was placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. However, any code-based methodology is welcome - just please remember to share the code used to generate the results.

    Join the R4DS Online Learning Community in the weekly #TidyTuesday event! Every week we post a raw dataset, a chart or article related to that dataset, and ask you to explore the data. While the dataset will be “tamed”, it will not always be tidy!

    We will have many sources of data and want to emphasize that no causation is implied. There are various moderating variables that affect all data, many of which might not have been captured in these datasets. As such, our guidelines are to use the data provided to practice your data tidying and plotting techniques. Participants are invited to consider for themselves what nuancing factors might underlie these relationships.

    The intent of Tidy Tuesday is to provide a safe and supportive forum for individuals to practice their wrangling and data visualization skills independent of drawing conclusions. While we understand that the two are related, the focus of this practice is purely on building skills with real-world data.

  14. H

    Replication Data for Race, Crime, and Emotions

    • dataverse.harvard.edu
    Updated Dec 10, 2018
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    Harvard Dataverse (2018). Replication Data for Race, Crime, and Emotions [Dataset]. http://doi.org/10.7910/DVN/V1LMZ5
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    application/x-stata-syntax(8714), docx(88875), tsv(191695)Available download formats
    Dataset updated
    Dec 10, 2018
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Experimental research on racial attitudes examines how Whites’ stereotypes of Black Americans shape their attitudes about the death penalty, violent crime, and other punitive measures. Marginally discussed in the race-to-crime literature are Blacks’ perceptions of retribution and justice. We fill this void by using an original survey experiment of 900 Black Americans to examine how exposure to intra-and-intergroup violent crime shapes their policy attitudes and emotional reactions to crime. We find that Blacks are more likely to support increased prison sentences for violent crimes when the perpetrator is White and the victim is Black, and reduced sentences for “Black-on-Black” crime. Our analyses further reveal that Black people express higher levels of anger when the victim is Black and the perpetrator is White; levels of shame and anger also increase in instances of Black-on-Black crime. Given current race relations in America, we conclude by speculating about how these emotional reactions might shape one’s willingness to participate in the political arena.

  15. o

    Data from: Parental incarceration and gender-based risks for increased body...

    • omicsdi.org
    xml
    Updated Mar 21, 2012
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    Roettger ME (2012). Parental incarceration and gender-based risks for increased body mass index: evidence from the National Longitudinal Study of Adolescent Health in the United States. [Dataset]. https://www.omicsdi.org/dataset/biostudies-literature/S-EPMC3324435
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    xmlAvailable download formats
    Dataset updated
    Mar 21, 2012
    Authors
    Roettger ME
    Area covered
    United States
    Variables measured
    Unknown
    Description

    Although recent studies suggest that 13% of young adults, including at least one-fourth of African Americans, experience parental incarceration, little research has examined links between parental incarceration and physical health. Using data from the National Longitudinal Study of Adolescent Health (1994-2008) and gender-based theories of stress, the authors examined whether parental incarceration is associated with increased body mass index among women but not men. Panel analysis spanning adolescence and adulthood, controlling for stressful life events, internalizing behaviors, and a range of individual, familial, and neighborhood characteristics, reveals that body mass index for women who have experienced parental incarceration is 0.49 units (P < 0.004) higher than that for women whose parents have never been incarcerated. This association is not evident among men. Similarly, in change score models between waves II and IV, women experiencing parental incarceration have a 0.92-unit increase in body mass index (P < 0.026) relative to women who did not have a parent undergo incarceration. In supplemental analysis examining if gender differences in incarceration stress response (externalizing vs. internalizing) explain these findings, the authors found that obesity status moderates the relation between depression and parental incarceration. Results suggest a stress internalization process that, for the first time, links parental incarceration with obesity among women.

  16. Share of Black adults who believe prison system requires major changes U.S....

    • statista.com
    Updated Jun 22, 2023
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    Statista (2023). Share of Black adults who believe prison system requires major changes U.S. 2021 [Dataset]. https://www.statista.com/statistics/1394469/share-of-black-adults-who-believe-prison-system-requires-major-changes-2021/
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    Dataset updated
    Jun 22, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 4, 2021 - Oct 17, 2021
    Area covered
    United States
    Description

    According to a survey conducted in 2021, 54 percent of Black adults said that the prison system needs to be completely rebuilt to treat Black people fairly in the United States while 33 percent said that the prison system requires major changes.

  17. H

    Replication data for: The Political Response to Black Insurgency: A Critical...

    • dataverse.harvard.edu
    tsv, zip
    Updated Jan 21, 2009
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    Harvard Dataverse (2009). Replication data for: The Political Response to Black Insurgency: A Critical Test of Competing Theories of the State [Dataset]. http://doi.org/10.7910/DVN/XMVIR7
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    zip(2556), tsv(7172)Available download formats
    Dataset updated
    Jan 21, 2009
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1960 - 1980
    Description

    Although empirical studies have concluded that political leaders in democratic systems often respond to mass unrest by expanding the welfare state, most of this research fails to explain adequately why the state responds as it does. I test the validity of pluralist and social control theories of state response by examining black insurgency in the United States during the 1960s and 1970s. Using pooled time-series analysis, I estimate the relationship between state AFDC recipient rates, state incarceration rates, and black political violence, testing a series of specific hypotheses that distinguish between these two competing theories. The results lend much support to the social control characterization of state response and may help explain trends in welfare and criminal justice policies over the last two decades.

  18. Prison Management Systems Market by Deployment, Component, and Geography -...

    • technavio.com
    Updated Dec 15, 2022
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    Technavio (2022). Prison Management Systems Market by Deployment, Component, and Geography - Forecast and Analysis 2023-2027 [Dataset]. https://www.technavio.com/report/prison-management-systems-market-industry-analysis
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    The prison management systems market is estimated to grow at a CAGR of 5.45% between 2022 and 2027. The size of the market is forecast to increase by USD 350.64 million. The growth of the market depends on several factors, including innovative upgrades to software, the pricing strategies of vendors, and the increased adoption of cloud-based prison management software.

    This report extensively covers market segmentation by deployment (on-premise and cloud-based), component (solution and services), and geography (North America, Europe, APAC, Middle East and Africa, and South America). It also includes an in-depth analysis of drivers, trends, and challenges. Furthermore, the report includes historic market data from 2017 to 2021.

    What will be the size of the Prison Management Systems Market During the Forecast Period?

    To learn more about this report, Download Report Sample

    Parent Market Analysis

    Technavio categorizes the global prison management systems market as a part of the global application software market within the global information technology (IT) software market.The parent global IT software market covers companies that are engaged in developing and producing application and system software. It also includes companies offering database management software. Our research report has extensively covered external factors influencing the parent market growth during the forecast period.

    Prison Management Systems Market: Key Drivers, Trends, Challenges, and Customer Landscape

    The innovative upgrades to the software are notably driving the market growth, although factors such as the high implementation and maintenance costs may impede the market growth. Our researchers analyzed the data with 2022 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    Key Prison Management Systems Market Driver

    Innovative upgrades to the software are the key factor driving the global prison management systems market growth. Traditional prison management systems are used to store, track and manage criminal records. Today's jail management systems are designed to help police officers and sheriffs do more. These integrated systems allow officers to use analytics and solve crimes in less time. Vendors like Tyler Technologies and Spillman Technologies have helped redefine the law enforcement platform. These companies have combined analytics with traditional prison management systems in new ways.

    Moreover, some vendors are partnering with cloud-service providers for the development of new software. For instance, Black Creek Integrated Systems announced its partnership with Mark43 for the development of a cost-efficient jail management software that meets the needs of the jails. Such new upgradation will drive the global prison management systems market growth during the forecast period.

    Significant Prison Management Systems Market Trend

    Increasing government expenditure on public safety is the primary trend in the global prison management systems market growth. The growing threat of terrorism, prison security problems and the need to reduce crime are forcing governments to increase their spending on prison management systems. State organizations have begun implementing security solutions in all major prisons to monitor activity both inside and outside the border. Jail Management helps secure their departmental area or building better than other authentication solutions.

    For instance, in the US, the Bureau of Prisons (BOP) continues to develop and deploy automated health information management systems that meet interoperability and security requirements issued by the Office of the National Coordinator (ONC) for Health Information Technology. Also, in 2019, the BOP launched a laboratory information system that helps reduce medical errors and expedites the availability of lab results for timely clinical decisions and care. Therefore, it is expected that demand for prison management systems will increase during the forecast period.

    Major Prison Management Systems Market Challenge

    High implementation and maintenance cost is a major challenge to the global prison management systems market growth. The high cost of deploying on-premises prison management software is one of the major challenges in the market for small-sized prisons. The price of prison management software includes the cost of software licensing, system design and customization, implementation, training, and maintenance. An organization that has purchased the software requires IT, staff, with the relevant expertise for the successful implementation of the software. Implementation of prison management software requires self-assessment, planning, adequate funding, clear vision, and cooperation at all managerial levels.

    Enterprises also need to train their employees to use the ap

  19. s

    Prison officer workforce

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Mar 19, 2021
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    Race Disparity Unit (2021). Prison officer workforce [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/workforce-and-business/workforce-diversity/prison-officer-workforce/latest
    Explore at:
    csv(3 KB)Available download formats
    Dataset updated
    Mar 19, 2021
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England and Wales
    Description

    On 31 March 2020, 92.3% of prison officers in England and Wales were White, and 7.7% were from Asian, Black, Mixed and Other ethnic groups.

  20. Kaiser/Washington Post/Harvard Poll # 2006-WPH021: 2006 African American Men...

    • ropercenter.cornell.edu
    ascii file +1
    Updated May 11, 2007
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    Roper Center for Public Opinion Research (2007). Kaiser/Washington Post/Harvard Poll # 2006-WPH021: 2006 African American Men Survey [Roper #31092322] [Dataset]. https://ropercenter.cornell.edu/ipoll/study/31092322
    Explore at:
    spss portable file, ascii fileAvailable download formats
    Dataset updated
    May 11, 2007
    Dataset provided by
    Roper Center for Public Opinion Researchhttps://ropercenter.cornell.edu/
    License

    https://ropercenter.cornell.edu/roper-center-data-archive-terms-and-conditionshttps://ropercenter.cornell.edu/roper-center-data-archive-terms-and-conditions

    Time period covered
    Mar 20, 2006 - Apr 29, 2006
    Area covered
    United States
    Measurement technique
    Survey sample: National adults including oversamples of African American Men and Women. Survey based on 2864 interviews.
    Description

    Satisfaction with life (1); quality of life (1); outlook on future (1); importance of values (9); feeling of control over life (3); morality of acts (4); stress (1); concern about situations (9); family life (14); time spent with children (8); involvement in discipline of children (1); expressiveness of affection towards children (1); reasons for not seeing children as often as preferred (6); satisfaction with financial support given to children (2); involvement in grandchildren's lives (1); primary responsibility for grandchildren (1); well-being of groups (4); black men in America (10); employment status (1); feeling of need to change look/act to fit in with white coworkers (2); obstacles advancing in the workplace (3); problems for black men (10); bias in America's economic system (2); reasons for declination of marriage rates of black people (4); reasons for black women being more educated/making more money than black men (4); black men's respect for black women (2); statements black parents should/should not tell their sons (4); life experiences (20); reasons for higher rates of imprisonment of black men (7); contact with black men (1); imprisonment (3); homeowner status (1); service to the Armed Forces/Reserves (1); religion (3); health (3).

Share
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Close
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Statista (2023). Jail incarceration rate U.S. 2021, by race [Dataset]. https://www.statista.com/statistics/816699/local-jail-inmates-in-the-united-states-by-race/
Organization logo

Jail incarceration rate U.S. 2021, by race

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 2, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
United States
Description

In 2021, the incarceration rate of African Americans in local jails in the United States was 528 incarcerations per 100,000 of the population -- the highest rate of any ethnicity. The second highest incarceration rate was among American Indians/Alaska Natives, at 316 incarcerations per 100,000 of the population.

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